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Data Analyst: Offsite Search Optimisation (Remote)

17 hours, 20 minutes ago
Anywhere
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Apache Spark GCP JavaScript Looker Metabase NumPy OAuth Pandas Python SEO SQL Superset
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Constructor

Constructor

The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization.

Internet Software & Services
View All Jobs 29

Description

  • Improve the e-commerce discovery experience by making offsite search faster and more personalized.
  • Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO.
  • Develop the architecture for technical website checkups, optimization assessments, and actionable recommendations.
  • Partner with Product teams to adapt enriched content for SEO and GEO needs.
  • Create and maintain an enablement layer of tools, playbooks, and frameworks to scale best practices.
  • Build a unified model for landing pages and external discovery data.
  • Design frameworks for future SEO experiments, including canonical tests, template variations, and structured data tests.
  • Create internal tools that can be reused and integrated by other teams.
  • Support the adoption of SEO and GEO best practices across teams and customers.
  • Track and analyze organic, branded, and AI-driven traffic from external sources.

Requirements

  • Strong SQL and Python skills, including libraries such as requests, pandas, and numpy.
  • Experience building data integrations between products.
  • Experience working with APIs and authentication, including OAuth2, GA4, and the Google Search Analytics API.
  • Understanding of ETL/ELT workflows on PySpark.
  • Experience building logic to extract data from unstructured sources such as referrers, canonical URLs, and page types.
  • Experience with BigQuery or a similar data warehouse tool (nice to have).
  • Basic JavaScript execution knowledge and understanding of how SSR/CSR affects crawlers (nice to have).
  • Knowledge of SEO fundamentals (nice to have).
  • Experience with BI systems such as Looker, Metabase, or Superset (nice to have).
  • Experience with logs or event handling systems (nice to have).

Benefits

  • Fully remote team with the flexibility to choose where you live.
  • Unlimited vacation time, with at least 3 weeks per year strongly encouraged.
  • Work-from-home stipend for setting up your home office.
  • Apple laptops provided for new employees.
  • Annual training and development budget for every employee.
  • Maternity and paternity leave for qualified employees.
  • Base salary of $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
  • Stock options in addition to base salary.

Interested in this position?

Apply directly on the company website

Apply Now

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